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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Shapely objects and classes

The Shapely library is used for creating and manipulating 2D vector data without the need for a spatial database. Not only does it do away with a database, it also does away with projections and data formats, focusing on geometry only. The strength of Shapely is that it uses easily-readable syntax to create a variety of geometries that can be used for geometric operations.

With the aid of other Python packages, these geometries and the results of geometric operations can be written to a vector file format and projected if necessary—we'll cover examples combing pyproj and Fiona with Shapely's capabilities. An example of a workflow incorporating Shapely might be where you'd read vector geometries out of a shapefile ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content